TCTracker: a RGB-T tracking via text-guided and contrast-learning enhancement
TCTracker is a CLIP-based RGB-T tracking algorithm driven by large language models that uses cross-modal contrastive learning to guide the backbone network in learning target representations based on these descriptions, which effectively leverages the rich semantic information in image-text pairs.